High rate dynamic monitoring with fabry–perot interferometric sensors: An alternative interrogation technique targeting biomedical applications

M. Fátima Domingues, Cátia Tavares, Nélia Alberto, Ayman Radwan, Paulo André, Paulo Antunes

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Fabry–Perot interferometric (FPI) sensors are an accurate and well-established sensing technology that are used to monitor a wide range of parameters such as strain, temperature, and refractive index, among many others. Nevertheless, due to the limited number and high cost of existing interrogation techniques for FPIs, its use is often restricted to discrete measurements, not being so explored for dynamic applications. The development of an alternative interrogation technique for a high rate of acquisition may propel this type of sensor into less explored fields such as dynamic biomedical applications. In this work, we present the theoretical and experimental analyses of an FPI sensing architecture by using an alternative high rate dynamic acquisition methodology, based on frequency to amplitude conversion, where the FPI spectral shift is detuned by the convolution of the optical light source with the FPI interference pattern. The good agreement between the theoretical and experimental results verified the reliability of the proposed methodology. Moreover, preliminary results show that the developed sensing architecture can be a suitable solution to monitor biomedical parameters such as the carotid pulse wave.

Original languageBritish English
Article number4744
JournalSensors (Switzerland)
Volume19
Issue number21
DOIs
StatePublished - 1 Nov 2019

Keywords

  • Biomedical applications
  • Fabry
  • High rate interrogation architecture
  • Optical fiber
  • Perot interferometric sensors

Fingerprint

Dive into the research topics of 'High rate dynamic monitoring with fabry–perot interferometric sensors: An alternative interrogation technique targeting biomedical applications'. Together they form a unique fingerprint.

Cite this